Reranking Collaborative Filtering with Multiple Self-contained Modalities (Best poster award nomination)

TitleReranking Collaborative Filtering with Multiple Self-contained Modalities (Best poster award nomination)
Publication TypeConference Paper
Year of Publication2011
AuthorsShi, Y, Larson, MA, Hanjalic, A
Refereed DesignationRefereed
Conference NameECIR '11: Proceedings of the 33rd European Conference on Information Retrieval
Pagination699-703
PublisherSpringer
Conference LocationDublin, Ireland
Keywordscollaborative filtering, multiple modalities, Recommender systems, reranking, self-contained modalities
Abstract

A reranking algorithm, Multi-Rerank, is proposed to refine the recommendation list generated by collaborative filtering approaches. Multi-Rerank is capable of capturing multiple self-contained modalities, i.e., item modalities extractable from user-item matrix, to improve recommendation lists. Experimental results indicate that Multi-Rerank is effective for improving various CF approaches and additional benefits can be achieved when reranking with multiple modalities rather than a single modality.

DOI10.1007/978-3-642-20161-5_74